A trained machine learning model to aid in the decision of Buying, Selling, or Holding a stock
This app uses a trained machine learning model to aid in the decision of Buying, Selling, or Holding a stock.
A command line utility for tracking a stock market portfolio
A command line stock market / portfolio tracker originally inspired by Ericm's Stonks program
A free financial library built in pure python
Ikaros is a free financial library built in pure python that can be used to get information for single stocks, generate signals and build prortfolios
A python scraper that pulls a table with the main companies listed on the stock exchange
A python scraper that pulls a table with the main companies listed on the stock exchange
A toolkit for training and backtesting the reinforcement learning algorithms
TradingGym is a toolkit for training and backtesting the reinforcement learning algorithms.
Stock Trading Market OpenAI Gym Environment with Deep Reinforcement Learning using Keras
This project provides a general environment for stock market trading simulation using OpenAI Gym.
Predict stock movement with Machine Learning and Deep Learning algorithms
Stock market movement prediction using LSTM Deep Neural Networks and machine learning algorithms
Technical experimentations to beat the stock market using deep learning
Technical experimentations to beat the stock market using deep learning.
Algorithmic trading using machine learning using Python 3
This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier.
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
AIAlpha: Multilayer neural network architecture for stock return prediction
Use unsupervised and supervised learning to predict stocks
A Python Library for Stock Market Prediction and Modelling
Deep Learning based Python Library for Stock Market Prediction and Modelling."